get the prompts + code to do this yourself @every
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TOOLS
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Accessing Prompts and Code for AI Workflows
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GitHub launches Agentic AI Developer certification
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GITHUB JUST LAUNCHED THE OFFICIAL CERTIFICATION FOR ONE OF THE MOST IMPORTANT TECH ROLES OF 2026 → Agentic AI Developer (GH-600) And it's the first time that working with AI agents officially becomes a recognized engineering discipline. We're no longer talking about:
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Hope for AI Agents to Automate Newsletter Publishing
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I hope someone hacked the ability for my AI agents to publish my newsletter automatically.
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Comparative Cost Analysis of Generative AI Video Tools
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Parlons chiffres. Coût par vidéo avec Seedance 2.0 : ↳ Higgsfield → 1,29$ ↳ Freepik → 1,31$ ↳ Topview → 1,20$ ↳ OpenArt → 0,96$ ↳ Seedance → 0,76$ ↳ Pollo AI → 0,11$ 100$ = ~1 000 vidéos sur Pollo AI. Les mêmes 100$ = ~77 vidéos sur Higgsfield. Le calcul est
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Practical Workflow for Low-Cost AI Video Generation
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Je viens de générer cette vidéo à partir d'une seule photo et pour moins de 0,11$.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 15 mai 2026
Non, c'est pas une faute de frappe.
Voilà comment j'ai fait :
Gardez-la précieusement en Signet 🔖 pic.twitter.com/5Njqc8BYZpJe viens de générer cette vidéo à partir d'une seule photo et pour moins de 0,11$. Non, c'est pas une faute de frappe. Voilà comment j'ai fait : Gardez-la précieusement en Signet
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AI Agent Development Over Two Months
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I built the agent over two months. And Levangie Labs is better than any other
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Tolaria: LLM Wiki as a Mac App
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@Karpathy
's LLM wiki concept just became a real Mac app. It is called Tolaria, a free desktop app for Mac and Linux. The goal is simple: give humans and AI agents a shared, native environment to build knowledge. It writes like a modern block editor, but saves everything as -
Claude Cowork’s Federated MCP Performance Benchmark
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Claude Cowork just got 10x more powerful!
— Sumanth (@Sumanth_077) 15 mai 2026
Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer.
The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude… pic.twitter.com/0lSWyHsKriClaude Cowork just got 10x more powerful! Glean benchmarked centralized vs federated MCP in Claude Cowork. Same harness, same model, same queries, different context layer. The federated approach: Each data source (Gmail, Slack, Drive, Salesforce) has its own MCP server. Claude
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AGI ALPHA: public implementation layer for AI self-improvement
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AI self-improvement is now a multi‑billion‑dollar category. AGI ALPHA is building the public implementation layer: proof‑bound agents, SecureRails, Open RSI Eval, Evidence Dockets & replayable enterprise machine labor. https://
github.com/MontrealAI/agi
alpha-first-real-loop
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Codex critiques developer-focused interface and bias against non-coders.
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Codex is very good, but it is still a very "developer coded" interface for an everything app. And it continues the somewhat annoying AI perspective that non-coders are just not as competent and need stuff hidden from them, as opposed to requiring a different form of complexity.